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dc.contributor.authorKadyrova, Altynay
dc.contributor.authorPedersen, Marius
dc.contributor.authorAhmad, Bilal
dc.contributor.authorMandal, Dipendra Jee
dc.contributor.authorNguyen, Mathieu
dc.contributor.authorZimmermann, Pauline
dc.date.accessioned2023-01-31T11:33:09Z
dc.date.available2023-01-31T11:33:09Z
dc.date.created2022-11-02T07:52:56Z
dc.date.issued2022
dc.identifier.citationIS&T International Symposium on Electronic Imaging Science and Technology. 2022, 317-1-317-6.en_US
dc.identifier.issn2470-1173
dc.identifier.urihttps://hdl.handle.net/11250/3047371
dc.description.abstractImage enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced by five end users, and these have been evaluated by observers in an online image quality experiment. The enhancement steps by the end users and subjective results are analysed in detail. Furthermore, 38 image quality metrics have been evaluated on the introduced dataset to reveal their suitability to measure image enhancement. The results show that the image quality metrics have low to average performance on the new dataset.en_US
dc.language.isoengen_US
dc.publisherSociety for Imaging Science and Technologyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleImage enhancement dataset for evaluation of image quality metricsen_US
dc.title.alternativeImage enhancement dataset for evaluation of image quality metricsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber317-1-317-6en_US
dc.source.journalIS&T International Symposium on Electronic Imaging Science and Technologyen_US
dc.identifier.doihttps://doi.org/10.2352/EI.2022.34.9.IQSP-317
dc.identifier.cristin2067676
dc.relation.projectEC/H2020/814158en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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